In the past 20 years, the amount of data generated and stored has grown exponentially. To meet the demand of the field, data science practitioners need to expand their mathematics, computer science, critical thinking, and problem-solving skills. The economy is like time. It doesn’t wait for anyone. And the time for the rustic professionals is running out with every new start-up and advancement in the business world.

Big Data is everywhere and there is almost an urgent need to collect and preserve whatever data is being generated, for the fear of missing out on something important. There is a huge amount of data floating around. Data Science has become crucial as it helps in advancing the business, decision makings and offering the biggest edge over the competitors.

Job role of a data scientist

The job role of a data scientist involves the following tasks on a day-to-day basis irrespective of the industry a person works in:

• Getting patterns and trends in datasets for unrevealing insights
• Developing algorithms and data models to foresee results
• Using the numerous Machine Learning (ML) methods to improve quality of data or product offerings
• Communicate recommendations to other teams and senior members
• Deploy data tools, such as the following Python, R, SAS, or SQL in data analysis
• Stay ahead in terms of innovations in the field of data science

Data Science Certification

According to a survey of 700 professionals, jointly conducted by Network World and SolarWinds, among the highest-paid IT professionals who had certifications, 58 percent said a certification led to a salary boost or bonus, 63 percent said it led them to get a promotion, and 30 percent to a new job.

Certifications – a term massive to express the plethora of implications and applications attached to it in today’s dynamic business conditions. If we were to jump into a time machine and go back a few decades, the word “Certification” would be redundant in many streams of business. A word that was traditionally associated with doctors, engineers, and other professionals. But today it has become the most essential booster for an individual’s career, irrespective of the line of business they are associated with.

Doing the best data scientist certifications are inexpensive definitive proof that an individual holds expertise and skills being current and up to the industry standards. You’re passing the industry’s measurement of your knowledge based on their skill assessments test of the designation you are being certified for.

A best data science certification is essential both personally and professionally. It is a career-long commitment that can help demonstrate to the peers and to the company that one is driven to become a successful data science professional. The prestigious Data Science credentials:

• Can help set an individual apart from those without it
• May help increase the professional confidence and satisfaction
• May maximize the earnings potential
• Can result in greater respect from the firm
• Makes an individual a better candidate for a new job opportunity

Retrain & Reskill

Retraining is the method of learning, refreshing, and developing data literacy skills in a workplace through continuous learning and training programs. It’s often needed on a regular basis to keep up with technological changes, regulations, and skills development.

Several industries from banking to manufacturing have become digitized. As a result, the World Economic Forum predicts that in the coming two years, tens of millions of jobs will disappear due to automation. At the same time, demand for jobs that require technical skills such as data science continues to rise while firms around the world are experiencing a skill shortage. To meet this skills shortage the employees need to keep up with latest technological changes.

Retraining employees in data science-related skills has thus become an essential need. Several organizations are following a high-level approach for up skilling their workforce for data science-related skills.

End notes

When it comes to careers in data science, it is important for helping employees understand the organizational goals and offer them proper retrain. The organizations should look for internally and start to realize the advantages of retraining their own employees in an effective way.